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House, William J.; Davis, Cheryl – 1986
The behavior of two real-time computer simulation models of melody recognition was compared with the performance of human subjects in this study. One of the models, INT1, recognized melodies by comparing specific intervals with stored intervals. The other model, CONT1, performed by comparing the contour of the stimulus melody with an array of…
Descriptors: Computer Simulation, Higher Education, Melody, Models
Peer reviewed Peer reviewed
Grigoroiu-Serbanescu, Maria – International Journal of Behavioral Development, 1984
Continues a previous five-year follow-up of preterm and full-term children by studying the continuity in their intellectual and emotional development. Prematurity was predictive for school adjustment at ages six and seven only when regression was performed on the preterm group, but failed to be predictive when mixed groups of preterm and full-term…
Descriptors: Developmental Continuity, Emotional Development, Followup Studies, Intellectual Development
Jones, Robert F.; Vanyur, Suzanne – 1985
The Medical College Admission Test (MCAT) was examined for sex bias. Data for student samples from two midwestern state-supported medical schools were analyzed. The criteria included average course grades in each of the first two years of medical school. Tests comparing various regression models based on male and female subgroups generally failed…
Descriptors: College Entrance Examinations, Females, Grade Point Average, Grade Prediction
Hand, Carol A.; Prather, James E. – 1985
This paper investigated the predictive validity of the Scholastic Aptitude Test (SAT) for members of different gender and minority status groups. The following data were obtainted on 45,067 undergraduates enrolled in 31 different institutions in a state college system: SAT Verbal (SAT-V) and SAT Mathematics (SAT-M) scores; high school average…
Descriptors: Academic Achievement, Black Students, College Entrance Examinations, College Students
Peer reviewed Peer reviewed
Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education